docstr: see RARE paper Fig. 6 (a) 
docstr_tok: ["see","RARE","paper","Fig",".","6","(","a",")"]
code: def get_initial_fiducials(self):
      """see RARE paper Fig. 6 (a)"""
      F = self.F
      ctrl_pts_x = np.linspace(-1.0, 1.0, int(F / 2))
      ctrl_pts_y_top = np.linspace(0.0, -1.0, num=int(F / 2))
      ctrl_pts_y_bottom = np.linspace(1.0, 0.0, num=int(F / 2))
      ctrl_pts_top = np.stack([ctrl_pts_x, ctrl_pts_y_top], axis=1)
      ctrl_pts_bottom = np.stack(
          [ctrl_pts_x, ctrl_pts_y_bottom], axis=1
      )
      initial_bias = np.concatenate(
          [ctrl_pts_top, ctrl_pts_bottom], axis=0
      )
      return initial_bias
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import paddle
  from paddle import nn, ParamAttr
  from paddle.nn import functional
  import numpy
label_desc: Use image node_id 3 for calling the LocalizationNetwork obj's underlying member method code with example usage: obj.get_initial_fiducials() and returns: initial_bias